ORIGINAL RESEARCH
River Health Evaluation Based on the
Fuzzy Matter-Element Extension
Assessment Model
Wei Xu1, Zengchuan Dong1, Zhenchun Hao2, Dayong Li1, Li Ren1, 2
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1College of Hydrology and Water Resources, Hohai University,
Nanjing 210098, China
2State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University,
Nanjing 210098, China
Submission date: 2016-11-08
Final revision date: 2016-11-25
Acceptance date: 2016-11-25
Online publication date: 2017-05-26
Publication date: 2017-05-26
Pol. J. Environ. Stud. 2017;26(3):1353-1361
KEYWORDS
TOPICS
ABSTRACT
The measured values of river health indexes that are not necessarily in the same range of a certain
health grade level cause the problem of how to classify the actual status of river health. To solve such
incompatibility and evaluate the health condition of a river ecosystem objectively we can use the river health
integrated index (RHI), which was determined by the fuzzy matter-element extension assessment model
(FMEAM). FMEAM was established by combining the fuzzy matter-element extension assessment method
with the proposed aggregative index system. By employing the model above, as well as data from the 1980s,
1990s, and 2000s, we evaluated the health state of the Luanhe River. The results showed that the Luanhe
River was in a sub-healthy state in the 1980s and in an unhealthy state in the 1990s and 2000s. The reasons
leading to the Luanhe River’s health degradation have been analyzed. Among them, water conservation
projects’ building and operations are the major influence factors. Waste water emissions, the expansion
of urban built-up areas, over exploitation of groundwater, and other unreasonable human activities also
intensified the river ecosystem degradation. Finally, countermeasures for the ecological restoration and
protection of the river were put forward.
CONFLICT OF INTEREST
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
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